Classification of Data Based on a Fuzzy Logic System

Data security and privacy are very important issues in the success of a business operation. Implementing and applying policies related to data security and privacy therefore has become one of the core and important activities for large organizations. Data classification process allows companies to organize their data according to their needs. This process can be laborious in large organizations with significant content to evaluate and categorize. Using a data classification process organizations can identify and apply appropriate setting and polices such as private access control and encryption requirements only to the relevant data thereby saving time and processing power. This paper explores the use of fuzzy logic in classification of data and suggests a method that can determine requirements for data security and privacy in an organization based on organizations needs and government policies imposed on data. A case study is considered to present the effectiveness of the proposed method.